Risk Data Analyst Jobs in Georgia

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About this Position

This role is responsible for leading advanced underwriting research and analytics to improve risk segmentation, underwriting performance, and strategic decision making across life insurance operations. The position partners closely with underwriting, actuarial, claims, and R&D teams to evaluate new data sources, develop and validate predictive models, and translate complex analytical findings into actionable business recommendations. The role drives cross functional analytical initiatives, supports underwriting innovation, and regularly presents insights and performance results to senior leadership.

Salary range between $85K - $100K Annual

Hybrid role

Location: Duluth, GA

Responsibilities & Qualifications

Key Responsibilities Summary

• Research and evaluate internal and external data sources to enhance underwriting risk assessment and segmentation
• Support the development, testing, and validation of predictive underwriting models and tools
• Conduct mortality, morbidity, experience, and A/E studies to assess underwriting methodologies and outcomes
• Perform cost‑benefit, validation, and impact analyses related to underwriting rules, requirements, and workflows
• Translate complex statistical, actuarial, and analytical results into clear, strategic recommendations
• Identify underwriting practices impacting mortality experience and recommend improvements
• Design and maintain dashboards, reports, and executive‑level presentations tracking underwriting performance and model results
• Lead cross‑functional analytic projects aligned with R&D and underwriting innovation initiatives
• Regularly present insights and findings to senior leadership and key stakeholders

Qualifications & Experience Summary

• 3–5+ years of experience in analytics‑focused roles; Strong experience with life or health insurance experience.
• Proficiency in SQL, database management tools, PowerBI, and advanced MS Office
• Bachelor’s degree required; Master’s degree in Data Science, Statistics, Actuarial Science, or related field preferred
• Programming experience in Python, R, and/or Palantir Foundry preferred
• Strong background in quantitative analysis, data mining, and risk assessment
• Experience conducting actuarial, underwriting, or insurance‑related studies strongly preferred
• Progress toward actuarial exams or data science certifications is a plus
• Strong strategic thinking, problem‑solving, and communication skills with the ability to operate effectively in ambiguous environments

Preferred Qualifications:

• Any of the following underwriting designations: LOMA/FLMI, FALU, CLU, or equivalent.
• Solid experience in underwriting highly preferred.

FLSA status:

This position is exempt (not eligible for overtime pay): Yes

Our Benefits:

• Day one health, dental, and vision insurance
• 401(k) Plan with competitive employer match
• Vacation, sick, holiday and volunteer time off
• Life and disability insurance
• Flexible Spending Account & Health Savings Account
• Professional development
• Tuition reimbursement
• Company-sponsored social and philanthropy events

It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.

At Primerica, we believe that diversity and inclusion are critical to our future and our mission – creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.